Approximate Group Fairness for Clustering

            Bo Li 1 Lijun Li 2 Ankang Sun 3 Chenhao Wang 4 * Yingfan Wang 5

             Abstract                in unsupervised learning – specifically, centroid clustering.
   We incorporate group fairness into the algorithmic     A canonical clustering problem is described as: given a
   centroid clustering problem, where k centers are      metric space X with distance measure d : X × X → R+ ∪
   to be located to serve n agents distributed in a      ...